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Data compression techniques for underwater imagery
- Date Issued:
- 1996
Title: | Data compression techniques for underwater imagery. |
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18 downloads |
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Name(s): |
Schmalz, Mark S. Ritter, G. X. Caimi, F. M. Harbor Branch Oceanographic Institute |
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Type of Resource: | text | |
Genre: | Article | |
Date Issued: | 1996 | |
Publisher: | Marine Technology Society | |
Place of Publication: | Washington, DC | |
Physical Form: | ||
Extent: | 9 p. | |
Language(s): | English | |
Identifier: | FA00007349 (IID), 10.1109/OCEANS.1996.568357 (doi) | |
Note(s): |
The onboard data storage burden associated
with underwater (UW) imagery tends to be
significant for applications such as image-based navigation
via an autonomous UW vehicle (AUV). Due to
mission, space, and power requirements the use and
storage of multispectral imagery in compressed form
is preferred. In this paper, we discuss the spatial and
statistical characteristics of UW imagery that facilitate
compression by well-known algorithms such as
JPEG, vector quantization (VQ), and visual pattern
image coding (VPIC). For example, we consider statistical
distributions of target and background greylevels
obtained from truthed imagery, as well as power spectral
analysis of target-background differences. The
former measures facilitate parameter selection in VQ
and VPIC, while the latter are important in JPEG.
Preliminary results are given for recently-developed
algorithms that yield compression ratios ranging from
5,500:1 to 16,500:1 based on prefiltered six-band multispectral
imagery of resolution 720x480 pixels. The
prefiltering step, which removes unwanted background
objects, is key to achieving high compression. Florida Atlantic University. Harbor Branch Oceanographic Institute contribution 1200 This manuscript is an author version with the final publication available and may be cited as: Schmalz, M. S., Ritter, G. X., & Caimi, F. M. (1996). Data compression techniques for underwater imagery. In Oceans 96 MTS/IEEE: coastal ocean, prospects for the 21st century: conference proceedings, 23-26 September, 1996, Broward County Convention Center, Fort Lauderdale, Florida (pp. 929-936). Washington, DC: Marine Technology Society. |
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Subject(s): |
Underwater imaging systems Data Compression |
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Links: | http://dx.doi.org/10.1109/OCEANS.1996.568357 | |
Persistent Link to This Record: | http://purl.flvc.org/fau/fd/FA00007349 | |
Host Institution: | FAU |